IQClab

Version 3.4.0 (274 KB) by Joost Veenman
IQClab - tools for robustness analysis and control design
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Updated 21 Apr 2024
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IQClab is a state of the art integral quadratic constraint (IQC) based toolbox for performing robustness analyses and designing control algorithms for a large class of uncertain and linear parameter varying (LPV) systems. In addition, IQClab consists of an extensive set of auxiliary tools and functions for performing model reduction, implementing control switching schemes, generating performance weighting functions, performing sensitivity analysis, among others. Not only are the tools easy to use, but they also have a modular build and can be applied in combination with different parsers and solvers. This allows developers to seamlessly include new linear matrix inequality (LMI) and IQC based algorithms as well as other extensions.
Please visit www.iqclab.eu for:
  • Terms and conditions
  • User manual
  • Demos

Cite As

Veenman, Joost, et al. “IQClab: A New IQC Based Toolbox for Robustness Analysis and Control Design.” IFAC-PapersOnLine, vol. 54, no. 8, Elsevier BV, 2021, pp. 69–74, doi:10.1016/j.ifacol.2021.08.583.

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MATLAB Release Compatibility
Created with R2019b
Compatible with R2019b and later releases
Platform Compatibility
Windows macOS Linux
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auxiliary

demos

iqcanalysis

iqcprob

iqcsynthesis

mor

switching

uclass

demos

Version Published Release Notes
3.4.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.